End-to-End, Transferable Deep RL for Graph Optimization
Privacy Considerations in Large Language Models
Portrait Light: Enhancing Portrait Lighting with Machine Learning
MediaPipe Holistic — Simultaneous Face, Hand and Pose Prediction, on Device
Google at NeurIPS 2020
Using AutoML for Time Series Forecasting
Transformers for Image Recognition at Scale
Navigating Recorder Transcripts Easily, with Smart Scrolling
The Language Interpretability Tool (LIT): Interactive Exploration and Analysis of NLP Models
Haptics with Input: Using Linear Resonant Actuators for Sensing
Using GANs to Create Fantastical Creatures
Mitigating Unfair Bias in ML Models with the MinDiff Framework
The Machine Learning Behind Hum to Search
Improving On-Device Speech Recognition with VoiceFilter-Lite
Announcing the Objectron Dataset
Background Features in Google Meet, Powered by Web ML
Experimenting with Automatic Video Creation from a Web Page
Estimating the Impact of Training Data with Reinforcement Learning
Rethinking Attention with Performers
Announcing the Recipients of the 2020 Award for Inclusion Research
Recreating Historical Streetscapes Using Deep Learning and Crowdsourcing
Measuring Gendered Correlations in Pre-trained NLP Models
Announcing the 2020 Google PhD Fellows
Massively Large-Scale Distributed Reinforcement Learning with Menger
Developing Real-Time, Automatic Sign Language Detection for Video Conferencing
Audiovisual Speech Enhancement in YouTube Stories
Advancing Instance-Level Recognition Research
Advancing NLP with Efficient Projection-Based Model Architectures
Improving the Accuracy of Genomic Analysis with DeepVariant 1.0
Improving Sparse Training with RigL
Imitation Learning in the Low-Data Regime
The Technology Behind our Recent Improvements in Flood Forecasting
KeyPose: Estimating the 3D Pose of Transparent Objects from Stereo
Using Machine Learning to Detect Deficient Coverage in Colonoscopy Screenings
Scaling Up Fundamental Quantum Chemistry Simulations on Quantum Hardware
Axial-DeepLab: Long-Range Modeling in All Layers for Panoptic Segmentation
An Analysis of Online Datasets Using Dataset Search (Published, in Part, as a Dataset)
Google at ECCV 2020
Understanding View Selection for Contrastive Learning
Tackling Open Challenges in Offline Reinforcement Learning
Understanding Deep Learning on Controlled Noisy Labels
Language-Agnostic BERT Sentence Embedding
On-device, Real-time Body Pose Tracking with MediaPipe BlazePose
REALM: Integrating Retrieval into Language Representation Models
A Simulation Suite for Tackling Applied Reinforcement Learning Challenges
On-device Supermarket Product Recognition
MediaPipe Iris: Real-time Iris Tracking & Depth Estimation
Live HDR+ and Dual Exposure Controls on Pixel 4 and 4a
Introducing the Model Card Toolkit for Easier Model Transparency Reporting
Announcing ScaNN: Efficient Vector Similarity Search
Improving Holistic Scene Understanding with Panoptic-DeepLab
Exploring Faster Screening with Fewer Tests via Bayesian Group Testing
Google at ICML 2020
Grounding Natural Language Instructions to Mobile UI Actions
AutoML-Zero: Evolving Code that Learns
Duality — A New Approach to Reinforcement Learning
Google at ACL 2020
SmartReply for YouTube Creators
SpineNet: A Novel Architecture for Object Detection Discovered with Neural Architecture Search
Leveraging Temporal Context for Object Detection
Sensing Force-Based Gestures on the Pixel 4
Presenting a Challenge and Workshop in Efficient Open-Domain Question Answering
RepNet: Counting Repetitions in Videos
Improving Speech Representations and Personalized Models Using Self-Supervision
Using Selective Attention in Reinforcement Learning Agents
Machine Learning-based Damage Assessment for Disaster Relief
Google at CVPR 2020
Extracting Structured Data from Templatic Documents
Unlocking the "Chemome" with DNA-Encoded Chemistry and Machine Learning
PEGASUS: A State-of-the-Art Model for Abstractive Text Summarization
Recent Advances in Google Translate
DADS: Unsupervised Reinforcement Learning for Skill Discovery
Federated Analytics: Collaborative Data Science without Data Collection
Evaluating Natural Language Generation with BLEURT
Open-Sourcing BiT: Exploring Large-Scale Pre-training for Computer Vision
Announcing the 7th Fine-Grained Visual Categorization Workshop
Enabling E-Textile Microinteractions: Gestures and Light through Helical Structures
Announcing Meta-Dataset: A Dataset of Datasets for Few-Shot Learning
Speeding Up Neural Network Training with Data Echoing
Agile and Intelligent Locomotion via Deep Reinforcement Learning
Understanding the Shape of Large-Scale Data
An NLU-Powered Tool to Explore COVID-19 Scientific Literature
Using Neural Networks to Find Answers in Tables
Applying Machine Learning to…..Yeast?
Yet More Google Compute Cluster Trace Data
Optimizing Multiple Loss Functions with Loss-Conditional Training
Google at ICLR 2020
Chip Design with Deep Reinforcement Learning
A Scalable Approach to Reducing Gender Bias in Google Translate
Exploring Evolutionary Meta-Learning in Robotics
Off-Policy Estimation for Infinite-Horizon Reinforcement Learning
EfficientDet: Towards Scalable and Efficient Object Detection
An Optimistic Perspective on Offline Reinforcement Learning
XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization
uDepth: Real-time 3D Depth Sensing on the Pixel 4
Advancing Self-Supervised and Semi-Supervised Learning with SimCLR
Exploring Nature-Inspired Robot Agility
Announcing the 2020 Image Matching Benchmark and Challenge
A Step Towards Protecting Patients from Medication Errors
Improving Audio Quality in Duo with WaveNetEQ
Exploring New Ways to Support Faculty Research
A Neural Weather Model for Eight-Hour Precipitation Forecasting
Massively Scaling Reinforcement Learning with SEED RL
Visual Transfer Learning for Robotic Manipulation
Introducing Dreamer: Scalable Reinforcement Learning Using World Models
Fast and Easy Infinitely Wide Networks with Neural Tangents
Soli Radar-Based Perception and Interaction in Pixel 4
Real-Time 3D Object Detection on Mobile Devices with MediaPipe
More Efficient NLP Model Pre-training with ELECTRA
Announcing TensorFlow Quantum: An Open Source Library for Quantum Machine Learning
Measuring Compositional Generalization
Toward Human-Centered Design for ML Frameworks
Ultra-High Resolution Image Analysis with Mesh-TensorFlow
Open Images V6 — Now Featuring Localized Narratives
Enhancing the Research Community’s Access to Street View Panoramas for Language Grounding Tasks
Exploring Transfer Learning with T5: the Text-To-Text Transfer Transformer
Announcing the 2019 Google Faculty Research Award Recipients
Setting Fairness Goals with the TensorFlow Constrained Optimization Library
Generating Diverse Synthetic Medical Image Data for Training Machine Learning Models
AutoFlip: An Open Source Framework for Intelligent Video Reframing
Learning to See Transparent Objects
TyDi QA: A Multilingual Question Answering Benchmark
ML-fairness-gym: A Tool for Exploring Long-Term Impacts of Machine Learning Systems
Encode, Tag and Realize: A Controllable and Efficient Approach for Text Generation
Announcing the Third Workshop and Challenge on Learned Image Compression
Towards a Conversational Agent that Can Chat About…Anything
Releasing the Drosophila Hemibrain Connectome — The Largest Synapse-Resolution Map of Brain Connectivity
Reformer: The Efficient Transformer
Can You Trust Your Model’s Uncertainty?
Using Machine Learning to “Nowcast” Precipitation in High Resolution
Google Research: Looking Back at 2019, and Forward to 2020 and Beyond
